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Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

Statistics in medicine, 2008-10, Vol.27 (23), p.4658-4677

2008

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Handbook of Missing Data Methodology

1, 2014

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Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates

Biometrics, 2008-09, Vol.64 (3), p.707-715

2008

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Modeling Survival Distribution as a Function of Time to Treatment Discontinuation: A Dynamic Treatment Regime Approach

Biometrics, 2018-09, Vol.74 (3), p.900-909

2018

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Estimating optimal treatment regimes from a classification perspective

Stat (International Statistical Institute), 2012, Vol.1 (1), p.103-114

2012

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Robust Method for Estimating Optimal Treatment Regimes

Biometrics, 2012-12, Vol.68 (4), p.1010-1018

2012

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Estimating vaccine efficacy over time after a randomized study is unblinded

Biometrics, 2022-09, Vol.78 (3), p.825-838

2022

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Group sequential methods for interim monitoring of randomized clinical trials with time‐lagged outcome

Statistics in medicine, 2022-12, Vol.41 (28), p.5517-5536

2022

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Interpretable Dynamic Treatment Regimes

Journal of the American Statistical Association, 2018-01, Vol.113 (524), p.1541-1549

2018

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Optimal Two–Stage Dynamic Treatment Regimes from a Classification Perspective with Censored Survival Data

Biometrics, 2018-12, Vol.74 (4), p.1180-1192

2018

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Rejoinder: Estimating vaccine efficacy over time after a randomized study is unblinded

Biometrics, 2022-09, Vol.78 (3), p.848-851

2022

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Q-and A-Learning Methods for Estimating Optimal Dynamic Treatment Regimes

Statistical science, 2014-11, Vol.29 (4), p.640-661

2014

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Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data

Biometrika, 2009-09, Vol.96 (3), p.723-734

2009

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Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions

Biometrika, 2013-09, Vol.100 (3), p.681-694

2013

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Estimation of the odds ratio in a proportional odds model with censored time‐lagged outcome in a randomized clinical trial

Biometrics, 2023-06, Vol.79 (2), p.975-987

2023

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Estimating optimal treatment regimes from a classification perspective

Stat (International Statistical Institute), 2016, Vol.5 (1), p.278-278

2016

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Optimal Estimator for the Survival Distribution and Related Quantities for Treatment Policies in Two-Stage Randomization Designs in Clinical Trials

Biometrics, 2004-03, Vol.60 (1), p.124-133

2004

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Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective

Lifetime data analysis, 2017-10, Vol.23 (4), p.585-604

2017

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mathbf{Q}$- and $\mathbf{A}$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes

Statistical science, , Vol.29 (4), p.640-661

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Causal Inference on the Difference of the Restricted Mean Lifetime Between Two Groups

Biometrics, 2001-12, Vol.57 (4), p.1030-1038

2001

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Empirical estimation of life expectancy from large clinical trials: Use of left-truncated, right-censored survival analysis methodology

Statistics in medicine, 2008-11, Vol.27 (26), p.5525-5555

2008

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Survival Benefit of Lung Transplantation in the Modern Era of Lung Allocation

Annals of the American Thoracic Society, 2017-02, Vol.14 (2), p.172-181

2017

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Efficiency Study of Estimators for a Treatment Effect in a Pretest-Posttest Trial

The American statistician, 2001-11, Vol.55 (4), p.314-321

2001

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Doubly‐Robust Estimators of Treatment‐Specific Survival Distributions in Observational Studies with Stratified Sampling

Biometrics, 2013-12, Vol.69 (4), p.830-839

2013

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Estimation of Survival Distributions of Treatment Policies in Two‐Stage Randomization Designs in Clinical Trials

Biometrics, 2002-03, Vol.58 (1), p.48-57

2002

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Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

Handbook of Missing Data Methodology

Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates

Modeling Survival Distribution as a Function of Time to Treatment Discontinuation: A Dynamic Treatment Regime Approach

Estimating optimal treatment regimes from a classification perspective

Robust Method for Estimating Optimal Treatment Regimes

Estimating vaccine efficacy over time after a randomized study is unblinded

Group sequential methods for interim monitoring of randomized clinical trials with time‐lagged outcome

Interpretable Dynamic Treatment Regimes

Optimal Two–Stage Dynamic Treatment Regimes from a Classification Perspective with Censored Survival Data

Rejoinder: Estimating vaccine efficacy over time after a randomized study is unblinded

Q-and A-Learning Methods for Estimating Optimal Dynamic Treatment Regimes

Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data

Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions

Estimation of the odds ratio in a proportional odds model with censored time‐lagged outcome in a randomized clinical trial

Estimating optimal treatment regimes from a classification perspective

Optimal Estimator for the Survival Distribution and Related Quantities for Treatment Policies in Two-Stage Randomization Designs in Clinical Trials

Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective

mathbf{Q}$- and $\mathbf{A}$-Learning Methods for Estimating Optimal Dynamic Treatment Regimes

Causal Inference on the Difference of the Restricted Mean Lifetime Between Two Groups

Empirical estimation of life expectancy from large clinical trials: Use of left-truncated, right-censored survival analysis methodology

Survival Benefit of Lung Transplantation in the Modern Era of Lung Allocation

Efficiency Study of Estimators for a Treatment Effect in a Pretest-Posttest Trial

Doubly‐Robust Estimators of Treatment‐Specific Survival Distributions in Observational Studies with Stratified Sampling

Estimation of Survival Distributions of Treatment Policies in Two‐Stage Randomization Designs in Clinical Trials

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